Wind energy is among the most sophisticated and rapidly growing renewable energy sources. This thesis presents a comprehensive investigation of Doubly Fed Induction Generator (DFIG) photovoltaic (PV) and wind energy generators, including system designs, power converters, control strategies, and the dynamic and steady-state performance of real Wind Energy Conversion Systems (WECS). The emphasis is on a technique for regulating the DC link voltage and attaining Maximum Power Point Tracking (MPPT) in a hybrid photovoltaic-wind turbine system. The examined system is a modified PV-DFIG configuration, whereby the photovoltaic output power is fed into the grid via both the grid-side and rotor-side converters of the DFIG. The suggested control technique concurrently regulates the DC-link voltage and the maximum power point tracking (MPPT) of the photovoltaic (PV) system. This method is economically reasonable since it eliminates the need for a specialized PV converter, resulting in more efficient integration of PV output electricity into the grid. The results are generated via MATLAB/SIMULINK. The dynamic model is constructed with the machine's equivalent circuit, articulated in fixed, rotor, and synchronous reference frames to assess performance. The stator of the DFIG is directly linked to the grid, and grid synchronization and power regulation are accomplished by managing the rotor voltage via a two-level back-to-back converter. The Grid-Side Converter (GSC) is designed to provide regulated power to the grid, while the Rotor-Side Converter (RSC) is managed to attain Maximum Power Point Tracking (MPPT) and Unity Power Factor (UPF). Simulations, executed with and without the photovoltaic system, provide outcomes for voltage, current, and both real and reactive power, using MATLAB.
PV systems, Maximum Power Point Tracking (MPPT) Techniques, Hybrid Energy, inverter, Renewable Energy, Battery, Wind System, Boost converter, PID controller.
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